20 results about "Sample tracking" patented technology

The invention provides a specimen tracking and checking system, which is suitable for at least one specimen container conveyed from a sending end to a checking end, and comprises a weight sensing module, an image acquisition module, an image recognition module, a control module and a network communication module which are arranged at the sending end and the checking end, the control module generates first specimen information and second specimen information at the sending end and the checking end respectively according to the weight of the specimen container and the identified target image, and the checking end is further provided with a comparison module for comparing whether the first specimen information is consistent with the second specimen information or not.

Systems and methods for tracking samples via sample tracking chains are presented. Sample tracking chains represent digital data structures instantiated according to intrinsic properties of a sample. Each link in the chain is a block of data representing an observed intrinsic state of the sample and is linked at least to a previous block representing a previous state. The sample tracking chain and blocks can be indexed for later retrieval by the intrinsic properties of the corresponding sample's state. The sample tracking chain can take the form of a blockchain possibly stored as part of a private or public distributed ledger. Disclosed sample tracking chains provide a full life cycle audit trail for sample processing.

This application provides a method and system for batch progress monitoring of animal disease testing samples, belonging to the field of intelligent monitoring technology. The method includes: introducing an online mirroring system to receive testing tasks and perform lightweight simulations to determine the testing chain, based on the testing process cycle; verifying and correcting based on personnel and equipment status; receiving test samples and assigning batch radio frequency coding (RFID) identification; and implementing batch-driven testing management and data storage on the testing chain through collaborative RFID tracking and visual monitoring to determine the testing data chain and establish a knowledge graph of testing through batch mining. This application solves the technical problem in existing technologies where isolated information and discontinuous data at each stage of the testing process make it difficult to monitor and track sample batch progress in real time, thus affecting testing efficiency. By introducing an online mirroring system combined with RFID identification for full-process sample tracking, the efficiency of disease testing is improved.

The invention provides methods of sample identification using germline structural variants to assess sample contamination and sample swap.

The invention discloses a printing return form sample chasing color compensation calculation method, which successfully solves the problems of subjectivity and inaccuracy of experience conversion in traditional printing return form sample chasing by constructing an intelligent color compensation system based on a K-means clustering algorithm. Experimental data show that the algorithm can accurately quantify the difference of the color separation files, and optimized curve parameters are generated through nonlinear fitting, so that the color difference delta E2000 of the corrected printed sheet is stably controlled within 2.5. Especially for the significant difference between the Y channel (the average deviation is 2.14%) and the K channel (the average deviation is 3.48%), the system effectively corrects the defects that printed sheets are slightly blue and dark through a dynamic compensation mechanism, and synchronous optimization of four primary colors, secondary overprinted colors and three-color overprinted grey balance colors is achieved. Compared with a traditional manual adjustment method, the data-driven compensation method has the advantages that the efficiency is greatly improved, the data-driven compensation method has the completely replicable standardization characteristic, key technical support is provided for digital upgrading of printing production, and the printing industry can be further promoted to develop towards the intelligent and high-precision direction.

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, samples are tracked using unique identifiers. An autosampler may detect the samples using unique identifiers and provide alerts when the sample is placed in the wrong location or when an incorrect or incompatible workflow is selected for the sample.

The invention relates to the technical field of the Internet of Things, in particular to a laboratory equipment reservation and sample tracking system based on the Internet of Things, which comprises a user identity authentication module, an equipment reservation scheduling module, a sample identifier generation module, a sample dynamic tracking module, a use state verification module and an abnormity early warning module. According to the system, firstly, the legality of a user is ensured through multi-factor identity authentication, then equipment reservation is carried out based on an authentication user identifier, corresponding sample unique identifier information is generated, and the whole-process position and time of the sample are collected through an Internet of Things tracking device and tracking data are formed; and the verification module compares the consistency of the reserved path and the actual path, and identifies the potential use deviation. And when an abnormal condition exists, the early warning module instantly triggers a prompt and feeds back and adjusts a reservation strategy to form a closed-loop management mechanism. According to the invention, intelligent scheduling of laboratory equipment resources and visual management and control of sample use behaviors are realized, and the standardization of a scientific research process is improved.

The invention discloses a composite RFID verification system and method for sample tracking, relates to the technical field of RFID identification, and can solve the technical problems that an ultrahigh frequency RFID tag is limited in identification performance in complex scenes such as a biological sample and a liquid environment, and a low frequency RFID tag is short in identification distance and difficult to independently position. The system comprises a low-frequency RFID tag configured on a sample, an ultrahigh-frequency RFID tag configured on a container, a low-frequency RFID reader-writer, an ultrahigh-frequency RFID reader-writer, a container positioning and tracking module and a sample verification module. According to the invention, 'container-sample 'dual identification and verification can be realized.

The utility model relates to the technical field of nucleic acid extraction, and discloses a nucleic acid extraction tube which comprises a tube body, a first sealing ring enhances the sealing performance between a sealing cover and the tube body and effectively prevents liquid leakage and external pollution, and a label provides an identification area of sample information. And sample tracking and management in the experiment process are facilitated. According to the nucleic acid extraction tube, the tube body provides a stable storage and operation space, the gradually-reduced structure of the tail tube enables liquid to smoothly flow to an elution tank, the silica gel membrane provides efficient nucleic acid adsorption performance, the filter membrane effectively blocks impurity particles, and the supporting net provides stable support for the silica gel membrane and the filter membrane, so that deformation or damage in the operation process is prevented; the elution tank serves as a final nucleic acid sample collection area, concentrated storage and efficient recovery of nucleic acid samples are guaranteed, the parts are matched with one another to form an efficient nucleic acid extraction structure, the purity and the recovery rate of nucleic acid extraction are improved, and sample loss is reduced.

The invention provides a micro-nano processing sample tracking method and a micro-nano processing equipment unlocking method, and the method comprises the steps: giving a sample ID to a to-be-processed sample when the to-be-processed sample enters a micro-nano processing platform, adding at least two sample codes on the surface of the to-be-processed sample according to the sample ID, the sample codes added on the surface of the to-be-processed sample are represented as the same sample ID; acquiring user identity information corresponding to the to-be-processed sample and equipment reservation information corresponding to the user identity information; constructing a mapping relationship among the sample ID, the user identity information and the equipment reservation information; before the to-be-processed sample enters any processing equipment for micro-nano processing, identifying a sample code on the surface of the to-be-processed sample; and calling corresponding equipment reservation information according to the sample ID corresponding to the sample code.

The invention relates to a tissue chip manufacturing process informatization management method, and belongs to the technical field of biological medicine. The invention provides an informatization management system for an organization chip manufacturing process. The informatization management system comprises a central processing unit, a sampling workstation, an aggregation workstation, a slicing workstation and an HE dyeing workstation, the central processing unit is respectively connected with the sampling workstation, the aggregation workstation, the slicing workstation or the HE dyeing workstation; and the section workstation is provided with an interface connected with a slide / label printer. According to the invention, the whole-course digital management of the sample information in the tissue chip manufacturing process is realized, manual operation errors are avoided, the chip preparation efficiency and the sample tracking accuracy are improved, and the reliability of scientific research data and the high efficiency of clinical application are ensured.

The application discloses a quality control and sample tracking management method for a whole process of gene detection, and relates to the field of sample tracking management. First, the reagent flow parameter is converted into a digital activity vector by using the attenuation integral technology. Then, a collaborative feature matrix coupled across dimensions is constructed by fusing the features of the activity vector and the library quality control data. On this basis, the calibration instruction set executable by the device is reversely solved based on the precision loss gradient and combined with the hardware parameter mapping table, so that the sequencer can automatically adjust the underlying operation parameters according to the real-time performance of the reagent. Finally, the quality control tracking report is generated through the whole-link correlation audit, the whole-process transparency control from the underlying biochemical fluctuation to the macro quality state is realized, and the sequencing deviation caused by the dynamic biochemical attenuation is fundamentally eliminated.

The invention discloses a low-frequency RFID sample object identification system and method based on a relay coil, relates to the technical field of RFID identification, and can solve the technical problem of identification blind areas caused by limited magnetic field propagation range in the prior art. The system comprises a low-frequency RFID tag configured on a sample object to record unique identity information of the sample object; the repeating coil module is used for enhancing an alternating magnetic field in a recognition area, and the recognition area is used for storing a sample object; and the low-frequency RFID reader-writer module is used for transmitting a low-frequency alternating magnetic field to the identification area and receiving a signal returned by the low-frequency RFID tag so as to analyze the unique identity information of the sample object from the signal. According to the invention, the action range of the low-frequency magnetic field can be effectively enlarged, the identification capability of the reader-writer on the low-frequency tag in a relatively far area is improved, and the low-cost sample tracking requirements in complex environments such as high-density grids, multi-layer goods shelves and metal shielding are met.

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, samples are tracked using unique identifiers. An autosampler may detect the samples using unique identifiers and provide alerts when the sample is placed in the wrong location or when an incorrect or incompatible workflow is selected for the sample.

The present application provides a micro-nano processing sample tracking method and a micro-nano processing equipment unlocking method, which comprises: when a sample to be processed enters a micro-nano processing platform, a sample ID is given to the sample to be processed; at least two sample codes are added to the surface of the sample to be processed according to the sample ID, and the sample codes added to the surface of the sample to be processed are all expressed as the same sample ID; user identity information corresponding to the sample to be processed and equipment reservation information corresponding to the user identity information are obtained; a mapping relationship is constructed by the sample ID, the user identity information and the equipment reservation information; before the sample to be processed enters any processing equipment for micro-nano processing, the sample codes on the surface of the sample to be processed are identified; and the corresponding equipment reservation information is retrieved according to the sample ID corresponding to the sample code.

A system and method are described for identifying the location of jamming or spoofing of information that is used in a Global Navigation Satellite System (GNSS) geolocation system, in areas in which it is difficult or impractical to install detection devices. The system and method make use of existing vessel-tracking technologies, such as Automatic Dependent Surveillance– Broadcast (ADS-B) – for aircraft vessels – and Automatic Identification System (AIS) – for naval vessels, to collect data on the speed and trajectory of large numbers of vessels and to use that data to extrapolate areas in which spoofing or jamming may be occurring. The system and method include techniques for sampling tracking data over periods of time in order to establish when data is sufficiently anomalous to indicate the potential for spoofing or jamming to be occurring for a particular tracked vessel. The overall system and method also includes a weighting protocol for data from multiple vessels to predict areas in which spoofing or jamming may be occurring by assigning anomalous vessel signals that are geographically nearby to values as to their potential to indicate spoofing or jamming, and thus calculating an area around those vessels as potentially subject to spoofing or jamming. A processing hub or multiple processing hubs include facilities to compare location information received by a group of vessels with anomalous signals and to determine whether the location information for those vessels is consistent with predicted location information for those vessels. In the event that there is a discrepancy between the predicted location information and the received location information, the processing hub or hubs can take a number of remediative actions, such as assigning the calculated area as one that has been identified as being subject to spoofing or jamming, and sending a warning signal to vessels in that calculated area that their GNSS location information may not be reliable. The system and method of the present invention can also alert affected vessels of the need to switch to a backup or alternative geolocation or navigation system, when it is determined that the GNSS geolocation system is determined to be inaccurate or unavailable in an area in which the vessels are currently located. Artificial Intelligence (AI) or Machine Learning (ML) can be used to better predict and correlate data so the most accurate approximation of where spoofing or jamming is occurs may be identified and subscribers to the system may be alerted.

The invention provides methods of sample identification using germline structural variants to assess sample contamination and sample swap.

A system and method for scanning data from items such as histopathology cassettes 1 or histopathology slides 4. Each item is provided with both a radio frequency identification (RFID) tag and with an

Scientific instrument support systems and related methods, computing devices, and computer readable media are disclosed herein. For example, in some embodiments, a sample is tracked using a unique identifier. The autoinjector may detect a sample using a unique identifier and provide an alert when the sample is placed in an error location or when an incorrect or incompatible workflow is selected for the sample.